2005
DOI: 10.1016/j.pce.2004.08.024
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Crop modelling as a tool to separate the influence of the soil and weather on crop yields

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Cited by 23 publications
(8 citation statements)
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“…In Europe, the PEAGRO crop simulation model identified pea's greater sensitivity to weather changes compared with wheat and maize, and weather changes impacted pea yield more than soil factors (Mathe-Gaspar et al 2005). Given that pea breeding programs in Europe have identified that pea needs targeted breeding for its sensitivity to climatic variation (Annicchiarico and Iannucci 2008), the impact of climate in western Canada on spring pea needs to be addressed because its even shorter reproductive period is expected to further increase yield sensitivity to adverse temperature.…”
Section: Mots Clé Smentioning
confidence: 99%
“…In Europe, the PEAGRO crop simulation model identified pea's greater sensitivity to weather changes compared with wheat and maize, and weather changes impacted pea yield more than soil factors (Mathe-Gaspar et al 2005). Given that pea breeding programs in Europe have identified that pea needs targeted breeding for its sensitivity to climatic variation (Annicchiarico and Iannucci 2008), the impact of climate in western Canada on spring pea needs to be addressed because its even shorter reproductive period is expected to further increase yield sensitivity to adverse temperature.…”
Section: Mots Clé Smentioning
confidence: 99%
“…Yields of miscanthus reported for trials all over Europe showed huge differences in biomass yields from 2 to 44 t × ha -1 [18]. In the opinion of M a t h e -G a s p a r et al [35], the growth and yielding of miscanthus and other crops in a given habitat are controlled by the soil and weather conditions as the main environmental factors.…”
Section: Discussionmentioning
confidence: 98%
“…The 4M model has been applied in previous studies focusing on soil and weather infl uence (Máthé-Gáspár et al, 2005), and on the effects of climate change on crop yields in Hungary (Fodor and Pásztor, 2010;Fodor et al, 2014). However, these studies are based mainly on experimental and non-representative farm-level data, whereas in this study we apply the model to representative Hungarian Farm Accountancy Data Network (FADN) data.…”
Section: Introductionmentioning
confidence: 99%